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A Novel Multidisciplinary Approach for Reptile Movement and Behavior Analysis

Savvas Zotos Orcid Logo, Marilena Stamatiou Orcid Logo, Sofia‐Zacharenia Marketaki Orcid Logo, Michael Konstantinou, Andreas Aristidou Orcid Logo, Duncan J. Irschick, Jeremy A. Bot, Emily Shepard Orcid Logo, Mark Holton Orcid Logo, Ioannis N. Vogiatzakis Orcid Logo

Integrative Zoology

Swansea University Authors: Emily Shepard Orcid Logo, Mark Holton Orcid Logo

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DOI (Published version): 10.1111/1749-4877.12960

Abstract

The study of animals’ activity and behavior in the wild is an extremely challenging task. Although tri‐axial accelerometers are invaluable for behavioral analyses, their use is more frequent in large charismatic endotherms with limited application in ectotherms. The scarce utilization of this method...

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Published in: Integrative Zoology
ISSN: 1749-4877 1749-4877
Published: Wiley 2025
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URI: https://cronfa.swan.ac.uk/Record/cronfa68970
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spelling 2025-04-02T10:06:39.9346338 v2 68970 2025-02-26 A Novel Multidisciplinary Approach for Reptile Movement and Behavior Analysis 54729295145aa1ea56d176818d51ed6a 0000-0001-7325-6398 Emily Shepard Emily Shepard true false 0e1d89d0cc934a740dcd0a873aed178e 0000-0001-8834-3283 Mark Holton Mark Holton true false 2025-02-26 BGPS The study of animals’ activity and behavior in the wild is an extremely challenging task. Although tri‐axial accelerometers are invaluable for behavioral analyses, their use is more frequent in large charismatic endotherms with limited application in ectotherms. The scarce utilization of this methodology on small‐size reptiles is focused on animals’ activity and energetics, showing few records of rapid displays and behavior signals. Here, we present a novel multidisciplinary approach capable of advancing research on reptiles’ behavior. Our proposed approach uses advanced technologies for the digitization, reconstruction and visualization of reptiles and their behavior. We (i) record movement through tri‐axial accelerometers, video cameras, and motion capture systems; (ii) ground‐truth data through the video records; (iii) develop realistically accurate 3D avatars of the recorded movement for visualization purposes, and (iv) archive data on a Behavior Pattern Database. As case studies, we used two small Mediterranean reptiles, the lizard Laudakia cypriaca and the snake Dolichophis jugularis. Through our approach, we successfully recorded, ground‐truthed, and labeled for the first time, several detailed movements and behaviors of the two case study species. We developed an accurate digital overview of those movements using motion capture and 3D animal reconstruction. Finally, we structured a database for archiving all behavioral data and demonstrated how those archives can be used for advancing behavioral research, providing ecological insights into this animal group. Our approach can enhance research on reptiles’ behavior by contributing to the analysis of complex or isolated behaviors, poorly studied, such as signals and social interactions, providing valuable insights and assisting behavioral analysis. Journal Article Integrative Zoology 0 Wiley 1749-4877 1749-4877 accelerometer, behavior recognition, motion capture, movement analysis, virtual 3D models 16 2 2025 2025-02-16 10.1111/1749-4877.12960 COLLEGE NANME Biosciences Geography and Physics School COLLEGE CODE BGPS Swansea University Another institution paid the OA fee This paper is an output of the research project ReTrack (POST-DOC/0916/0034) “Advancing Site Level Management Through Innovative Reptiles’ Tracking and Behavioral Decryption,” which was co-financed by the European Regional Development Fund and the Republic of Cyprus through the Research and Innovation Foundation. 2025-04-02T10:06:39.9346338 2025-02-26T14:10:16.9712789 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Biosciences Savvas Zotos 0000-0002-9767-396x 1 Marilena Stamatiou 0000-0001-7100-279x 2 Sofia‐Zacharenia Marketaki 0009-0008-2478-5531 3 Michael Konstantinou 4 Andreas Aristidou 0000-0001-7754-0791 5 Duncan J. Irschick 6 Jeremy A. Bot 7 Emily Shepard 0000-0001-7325-6398 8 Mark Holton 0000-0001-8834-3283 9 Ioannis N. Vogiatzakis 0000-0001-7071-6950 10 68970__33685__88b35396588946629ead7ff90b334a7f.pdf 68970.VOR.pdf 2025-02-26T14:15:57.3475795 Output 3763404 application/pdf Version of Record true © 2025 The Author(s). This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (CC BY-NC-ND). true eng http://creativecommons.org/licenses/by-nc-nd/4.0/
title A Novel Multidisciplinary Approach for Reptile Movement and Behavior Analysis
spellingShingle A Novel Multidisciplinary Approach for Reptile Movement and Behavior Analysis
Emily Shepard
Mark Holton
title_short A Novel Multidisciplinary Approach for Reptile Movement and Behavior Analysis
title_full A Novel Multidisciplinary Approach for Reptile Movement and Behavior Analysis
title_fullStr A Novel Multidisciplinary Approach for Reptile Movement and Behavior Analysis
title_full_unstemmed A Novel Multidisciplinary Approach for Reptile Movement and Behavior Analysis
title_sort A Novel Multidisciplinary Approach for Reptile Movement and Behavior Analysis
author_id_str_mv 54729295145aa1ea56d176818d51ed6a
0e1d89d0cc934a740dcd0a873aed178e
author_id_fullname_str_mv 54729295145aa1ea56d176818d51ed6a_***_Emily Shepard
0e1d89d0cc934a740dcd0a873aed178e_***_Mark Holton
author Emily Shepard
Mark Holton
author2 Savvas Zotos
Marilena Stamatiou
Sofia‐Zacharenia Marketaki
Michael Konstantinou
Andreas Aristidou
Duncan J. Irschick
Jeremy A. Bot
Emily Shepard
Mark Holton
Ioannis N. Vogiatzakis
format Journal article
container_title Integrative Zoology
container_volume 0
publishDate 2025
institution Swansea University
issn 1749-4877
1749-4877
doi_str_mv 10.1111/1749-4877.12960
publisher Wiley
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Biosciences, Geography and Physics - Biosciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Biosciences
document_store_str 1
active_str 0
description The study of animals’ activity and behavior in the wild is an extremely challenging task. Although tri‐axial accelerometers are invaluable for behavioral analyses, their use is more frequent in large charismatic endotherms with limited application in ectotherms. The scarce utilization of this methodology on small‐size reptiles is focused on animals’ activity and energetics, showing few records of rapid displays and behavior signals. Here, we present a novel multidisciplinary approach capable of advancing research on reptiles’ behavior. Our proposed approach uses advanced technologies for the digitization, reconstruction and visualization of reptiles and their behavior. We (i) record movement through tri‐axial accelerometers, video cameras, and motion capture systems; (ii) ground‐truth data through the video records; (iii) develop realistically accurate 3D avatars of the recorded movement for visualization purposes, and (iv) archive data on a Behavior Pattern Database. As case studies, we used two small Mediterranean reptiles, the lizard Laudakia cypriaca and the snake Dolichophis jugularis. Through our approach, we successfully recorded, ground‐truthed, and labeled for the first time, several detailed movements and behaviors of the two case study species. We developed an accurate digital overview of those movements using motion capture and 3D animal reconstruction. Finally, we structured a database for archiving all behavioral data and demonstrated how those archives can be used for advancing behavioral research, providing ecological insights into this animal group. Our approach can enhance research on reptiles’ behavior by contributing to the analysis of complex or isolated behaviors, poorly studied, such as signals and social interactions, providing valuable insights and assisting behavioral analysis.
published_date 2025-02-16T08:18:46Z
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score 11.058331

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